Music Auto Tagging

Music Auto-Tagging is a process that leverages machine learning technology to automatically add tags to music files, aiming to efficiently classify and retrieve music content through the analysis of audio features and metadata. This technology can extract multi-dimensional information from music, such as emotion, rhythm, and genre, providing crucial support for music recommendation systems, copyright management, and personalized playlist generation, significantly enhancing user experience and content management efficiency.